Security Check

AI-assisted development has dramatically lowered the barrier to shipping software. Teams that once needed months of engineering work can now prototype and deploy in days. That speed is genuinely valuable — but it comes with a risk that is easy to overlook: the code produced is only as secure as the knowledge that shaped it. AI models confidently generate patterns that are outdated, misconfigured, or outright vulnerable, and without an experienced security engineer in the loop, those issues ship straight to production.

What we check

We assess your application against the OWASP Top 10 — the industry-standard list of the most critical web application security risks — and go deeper where your stack demands it:

• Injection (SQL, NoSQL, command, LDAP) — untrusted input reaching an interpreter
• Broken authentication — weak session management, exposed tokens, missing MFA
• Sensitive data exposure — secrets in logs, unencrypted storage, leaky APIs
• Broken access control — privilege escalation, insecure direct object references
• Security misconfiguration — default credentials, verbose error messages, open cloud storage
• Vulnerable dependencies — outdated packages with known CVEs across your full supply chain
• Injection via LLM / prompt injection — relevant for any product that integrates AI models
• Insufficient logging & monitoring — no alerting means breaches go undetected for months

How it works

The bulk of the work is done by a security engineer sitting with your codebase — reading the code, tracing data flows, probing authentication boundaries, and thinking about how an attacker would approach your system. We review source code, infrastructure configuration, authentication flows, API contracts, and dependency trees. Where it makes sense we use automated tools to surface an initial breadth of findings, but every single issue is manually verified for exploitability and assessed for real business impact before it makes it into the report. We do not hand over a raw scanner dump — we hand over conclusions. Every finding comes with a severity rating, a plain-language explanation of what could go wrong, and a concrete remediation step your team can act on immediately.

What you get

At the end of the engagement you receive a written report covering all findings ranked by risk, an executive summary suitable for sharing with leadership or customers, and a remediation backlog ready to drop into your issue tracker. We also offer a follow-up review after fixes have been applied to confirm vulnerabilities are fully resolved rather than just patched on the surface.

Why companies choose us

Security is not a checkbox — it is a continuous practice. Here is why organizations trust us with this work:

• Independent perspective — your own team is too close to the code to spot assumptions that an outsider catches immediately
• Due diligence — a documented security review shows customers, partners, and your own leadership that security is taken seriously, not just assumed
• Before it costs you more — the average cost of a data breach far exceeds the cost of a security review; finding issues now is always cheaper than containing an incident later
• AI-generated code needs human review — LLMs reproduce common vulnerability patterns at scale; a targeted audit catches what automated CI scanners miss
• Customer and partner trust — being able to demonstrate that your software has been independently assessed is a genuine competitive advantage
• Faster remediation — we do not just hand you a list of problems; we work with your team to understand root causes and prevent the same class of issue from recurring